Not Just Large: Tall Teams Dominate East Asia’s Scientific Production

Abstract Purpose This study compares the hierarchical structure of scientific teams across countries and investigates factors associated with the observed cross-national differences. Design/methodology/approach Drawing on 150,817 publications with author contribution statements, we focus on the 15 countries with the largest volume of scientific publications, examine cross-country variations in the proportion of tall teams, and analyze how this proportion correlates with other factors. Findings Scientific output from East Asia is dominated by tall teams, which persist after controlling for team size, indicating that this pattern cannot be fully accounted for by the prevalence of larger teams in these countries. Cultural factors, measured by Power Distance, as well as the observed funding patterns of major basic science agencies, are associated with the dominance of tall teams in East Asia. Research limitations This study is limited by its reliance on publications with author contribution statements, which may introduce selection bias; its focus on cultural and funding factors, while leaving other institutional contexts unexamined; and its use of a leadership concentration measure that does not capture other dimensions of hierarchy. Practical implications Understanding cross-national differences in research team structures and their associated cultural and institutional factors can inform science policy and team management. Originality/value This study provides a systematic cross-national comparison of team hierarchy and offers a mechanistic understanding of the dominance of tall teams in East Asia, highlighting associations with cultural and funding factors.

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Publication Details

Journal
Journal of Data and Information Science
Published
2026-04-22
DOI
https://doi.org/10.1515/jdis-2025-0318
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
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article

Not Just Large: Tall Teams Dominate East Asia’s Scientific Production

Tao Jia, Wenjin Xie, Wen-Yu Chen, Siyuan Liu
Journal of Data and Information Science
scientometrics and bibliometrics research
article

Not Just Large: Tall Teams Dominate East Asia’s Scientific Production

Tao Jia, Wenjin Xie, Wen-Yu Chen, Siyuan Liu
article en

Abstract

Abstract Purpose This study compares the hierarchical structure of scientific teams across countries and investigates factors associated with the observed cross-national differences. Design/methodology/approach Drawing on 150,817 publications with author contribution statements, we focus on the 15 countries with the largest volume of scientific publications, examine cross-country variations in the proportion of tall teams, and analyze how this proportion correlates with other factors. Findings Scientific output from East Asia is dominated by tall teams, which persist after controlling for team size, indicating that this pattern cannot be fully accounted for by the prevalence of larger teams in these countries. Cultural factors, measured by Power Distance, as well as the observed funding patterns of major basic science agencies, are associated with the dominance of tall teams in East Asia. Research limitations This study is limited by its reliance on publications with author contribution statements, which may introduce selection bias; its focus on cultural and funding factors, while leaving other institutional contexts unexamined; and its use of a leadership concentration measure that does not capture other dimensions of hierarchy. Practical implications Understanding cross-national differences in research team structures and their associated cultural and institutional factors can inform science policy and team management. Originality/value This study provides a systematic cross-national comparison of team hierarchy and offers a mechanistic understanding of the dominance of tall teams in East Asia, highlighting associations with cultural and funding factors.

Journal of Data and Information Science
Chongqing Normal University (CN), Southwest University (CN), Guangxi University of Science and Technology (CN)
Partnerships for the goals
Openalex Percentile: Top 6%
scientometrics and bibliometrics research
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